SBS_Luke at Planetary Qualifier Yuma

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Planetary Limited April 25, 2026 Record 3-3-0 Field 43

Rating after 1,679

-15

Rating before 1,694 RD 113

Rating after 1,679 RD 104

Effective multiplier 1.0×

Performance 1,611

Field strength Mean 1,575 · Median 1,552 · 42 rated

// rating math · glicko-2 phase replay

How this rating change was computed

Glicko-2 doesn’t reward record — it rewards surprise. Winning a match the system expected you to win is worth almost nothing. Losing one is expensive. Losing to someone rated below you costs the most. The Planetary tier multiplier (1.0×) amplifies every gain and every loss.

Shape D top-cut adjustments QF SF F Wins +0.12 +0.18 +0.25 Losses -0.18 -0.27 -0.35

Making cut at this Planetary event adds a flat +15 top-cut bonus on top of phase math. Making cut never costs you net rating — the made-cut floor pins the tournament delta to ≥ 0.

Start 1694 → Swiss 1679 -14.5

Top Cut Bracket Full bracket on the event page

Quarterfinals

Spencer Freeman 2

JonahBR 0

llopez101 2

_ODIN_WAN_KENOBI_ 1

CBG_Taylor 2

CheeseKahuna 0

Arteiris 2

CBG_Ruben 1

Semifinals

Spencer Freeman 2

CBG_Taylor 0

llopez101 2

Arteiris 0

Finals

Spencer Freeman 2

llopez101 1

See full bracket on the event page →

Swiss · 6 matches 3-3 -14.5 1.0× +0.0 -14.5 1679

Total 3-3-0 -14.5 1679

Biggest upset Beat CheeseKahuna 1827 at 39% odds / surprise +0.61

Costliest loss Lost to Maclunkey 1516 at 64% odds / surprise -0.64 /

Matches (6)

R1 imrahil327 Win 2-1 1.0× +16.1 Swiss

R2 Keniff Win 2-1 1.0× +17.7 Swiss

R3 CheeseKahuna Win 2-0 1.0× +25.9 Swiss

Glicko-2 predicted only 39% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect. Their rating wasn't well-established (RD 130, true skill could span ±260).

R4 CBG_Ruben Loss 1-2 1.0× Swiss

Glicko-2 predicted 57% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins. Their rating wasn't well-established (RD 126, true skill could span ±252).

R5 llopez101 Loss 1-2 1.0× Swiss

Glicko-2 predicted 61% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins. Their rating wasn't well-established (RD 152, true skill could span ±304).

R6 Maclunkey Loss 0-2 1.0× Swiss

Glicko-2 predicted 64% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins. Their rating wasn't well-established (RD 152, true skill could span ±304).